DistMult [1]} and ConvE [2]} are among those KGE models which are trained on a link prediction task but without making use of the textual descriptions of entities. On the other hand, there are some models such as DKRL [3]} which leverage the textual descriptions of entities for the link prediction task on (monolingual) datasets like FB15K [4]} and FB15K-237 [5]} and have demonstrated that using the textual descriptions enhance the embeddings of entities [6]}. However, despite the fact that the entities in these KGs have multilingual entity descriptions, all the existing models which use descriptions of entities focus on using descriptions written in only one natural language.
